Risk factors for musculoskeletal injury in preprofessional dancers: a systematic review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Preprofessional dancers partake in rigorous training and have high injury prevalence. Attempts to identify risk factors for dance injuries have focused on a diversity of intrinsic and extrinsic factors. OBJECTIVE: To identify and evaluate the evidence examining risk factors for musculoskeletal injury in preprofessional ballet and modern dancers. METHODS: Fifteen electronic databases were systematically searched to October 2015. Studies selected met a priori inclusion criteria and investigated musculoskeletal injury risk factors in preprofessional (elite adolescent, student, young adult) ballet and modern dancers. Two reviewers independently assessed the quality and level of evidence using the Downs and Black (DB) criteria and a modified Oxford Centre of Evidence-Based Medicine 2009 model, respectively. RESULTS: Of 1364 potentially relevant studies, 47 were included and scored. Inconsistent injury definition and methodology precluded meta-analysis. The most common modifiable risk factors investigated were anthropometrics (ie, body mass index, adiposity), joint range of motion (ie, lower extremity), dance exposure (ie, years training, exposure hours) and age. The median DB score across studies was 8/33 (range 2-16). The majority of studies were classified as level 3 evidence and few considered risk factor inter-relationships. There is some level 2 evidence that previous injury and poor psychological coping skills are associated with increased injury risk. CONCLUSIONS: Because of the lack of high-quality studies, consensus regarding risk factors for musculoskeletal injury in preprofessional dancers remains difficult. There is a need for injury definition consensus and high-quality prospective studies examining the multifactorial relationship between risk factors and injury in preprofessional dance.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it